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The age of big data has seen a host of new techniques for analyzing large data sets. But before any of those techniques can be applied, the target data has to be aggregated, organized, and cleaned up.

That turns out to be a shockingly time-consuming task. In a 2016 survey, 80 data scientists told the company CrowdFlower that, on average, they spent 80 percent of their time collecting and organizing data and only 20 percent analyzing it.

An international team of computer scientists hopes to change that, with a new system called Data Civilizer, which automatically finds connections among many different data tables and allows users to perform database-style queries across all of them. The results of the queries can then be saved as new, orderly data sets that may draw information from dozens or even thousands of different tables.

Extreme weather events put the most vulnerable communities at high risk. How can data analytics strengthen early warning systems and and support relief efforts for communities in need? The size and ...

2018

Each year, Qatar Computing Research Institute organizes a summer internship program for undergraduate students studying computer science, computer engineering and other disciplines. The internship is unpaid, and QCRI does not provide any visa support.

The Boeing Company and Qatar Computing Research Institute (QCRI) will host the fifth annual Machine Learning and Data Analytics Symposium (MLDAS) in Qatar. This year’s event will be held at the Qatar...

Results From Joint Research Efforts To Bring Benefits To Local Residents Doha, 28 October 2014: Qatar Computing Research Institute (QCRI) and the Qatar Mobility Innovations Center (QMIC) have signed...